import gradio as gr
import numpy as np


def gennerateImage(input_array,eps):
    eps = eps / 100
    mask = np.random.random(input_array.shape)
    mask = mask * 2 - 1 # 将mask的值转换为-1到1之间
    noise_img = (input_array * (1 + mask * eps)).astype(np.uint8) % 255
    return noise_img

demo = gr.Interface(
    gennerateImage, 
    inputs=[
        gr.Image(),
        gr.Slider(1, 10, 3)
    ],
    outputs="image"
    )

demo.launch()